Enabling Secure, Scalable Access to Medical Imaging Data

Healthcare organisations generate vast volumes of imaging data that can provide significant value for clinical research, innovation, and improved patient outcomes. However, a key barrier to using this data at scale is the presence of personally identifiable information embedded directly within medical images.

Traditional redaction processes are largely manual, requiring specialist review and validation. This makes the process time-consuming, difficult to scale, and resource-intensive. As a result, research teams often face delays in accessing usable datasets, while clinical and governance teams experience increased operational burden.

At the same time, strict regulatory requirements around data privacy and security make it essential that any redaction process remains accurate, auditable, and compliant.